石化装置安全仪表系统KooN表决结构的误跳车率定量分析
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摘要
为了更准确量化安全仪表系统的误跳车率,基于联锁回路SIF中传感器、逻辑解算器、执行机构引发误跳车的不同失效机理和模型,考虑共因失效对误跳车率的影响,提出1种更符合实际并适用于异型Koo N结构的新子系统误跳车率计算模型(STR of Non-identical Redundant System,SNRS)。针对SIF回路的误跳车率计算,建立了1种分析安全联锁SIF回路误跳车率(Reliability based Spurious Trip,RST)的计算框架。研究结果表明:以某聚丙烯装置第三反应器保护系统为例,将SNRS和RST方法与目前主流的多种计算方法进行数值计算对比,验证了方法的有效性,能够有效进行定量分析。
In order to quantify the spurious trip rate( STR) of the safety instrumented system( SIS) more accurately,based on different failure mechanism and models of spurious trip caused by the sensors,logic solvers and final executors in the interlocking circuit SIF,a new calculation model for the spurious trip rate of subsystem( STR of Non-identical Redundant System,SNRS) was proposed considering the influence of common cause failure on the spurious trip rate,which was more consistent with the actual situation and suitable for the non-identical Koo N architectures. Aiming at the calculation of the spurious trip rate for the SIF circuit,a calculation framework for analyzing the spurious trip rate of the safety interlocking SIF circuit( Reliability based Spurious Trip,RST) from a new perspective was established. The results showed that taking the 3 rd reactor protection system of a polypropylene plant as an example,the numerical calculation results of SNRS and RST methods were compared with multiple current mainstream calculation methods,and the effectiveness of the proposed methods was verified,so the quantitative analysis could be carried out effectively.
In order to quantify the spurious trip rate( STR) of the safety instrumented system( SIS) more accurately,based on different failure mechanism and models of spurious trip caused by the sensors,logic solvers and final executors in the interlocking circuit SIF,a new calculation model for the spurious trip rate of subsystem( STR of Non-identical Redundant System,SNRS) was proposed considering the influence of common cause failure on the spurious trip rate,which was more consistent with the actual situation and suitable for the non-identical Koo N architectures. Aiming at the calculation of the spurious trip rate for the SIF circuit,a calculation framework for analyzing the spurious trip rate of the safety interlocking SIF circuit( Reliability based Spurious Trip,RST) from a new perspective was established. The results showed that taking the 3 rd reactor protection system of a polypropylene plant as an example,the numerical calculation results of SNRS and RST methods were compared with multiple current mainstream calculation methods,and the effectiveness of the proposed methods was verified,so the quantitative analysis could be carried out effectively.
引文
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[12]王东风,刘千,韩璞,等.基于大数据驱动案例匹配的电站锅炉燃烧优化[J].仪器仪表学报,2016,37(2):420-428.WANG Dongfeng,LIU Qian,HAN Pu,et al. Combustion optimization in power station based on big data-driven case-matching[J].Chinese Journal of Scientific Instrument,2016,37(2):420-428.
[13]王海清,乔丹菊,刘祥妹,等.异型冗余设备Koo N结构通用PFD计算模型[J].中国安全科学学报,2016,26(8):90-94.WANG Haiqing,QIAO Danju,LIU Xiangmei,et al. Model for calculating generalizing PFD of non-identical redundant Koo N configurations[J]. China Safety Science Journal,2016(8):90-94.
[14] DANG T,SCHWARZ M,BRCSK J. Effect of demand rate on evaluation of spurious trip rate of a SIS[J]. International Journal of Mathematical Models&Methods in Applied Sciences,2015(9):487-498.
[15] LIU Y,LUNDTEIGEN M A. Reliability Importance of the Channels in Safety Instrumented Systems[C]//Industrial Engineering,Management Science and Applications 2015. Springer Berlin Heidelberg,2015.
[2] International Electrotechnical Commission. Functional safety of electric/electronic/programmable electronic safety-related systems:IEC61508[S]. 2000.
[3] International Electrotechnical Commission. Functional safety instrumented systems for the process industry sector:IEC61511[S].2003.
[4] International Society of AutomationSafety instrumented functions(SIF)-safety integrity level(SIL)evaluation techniques:ISA TR84. 00. 02[S]. 2002.
[5] HOKSTAD P,CORNELIUSSEN K. Reliability Prediction Method for Safety Instrumented Systems PDS Method Handbook[M]. SINTEF:Trondheim,2003.
[6] JIGAR A A,LIU Y,LUNDTEIGEN M A. Spurious activation analysis of safety-instrumented systems[J]. Reliability Engineering&System Safety,2016,156:15-23.
[7] INNAL F,DUTUIT Y,CHEBILAM. Safety and operational integrity evaluation and design optimization of safety instrumented systems[J]. Reliability Engineering&System Safety,2015,134:32-50.
[8] LUNDTEIGEN M A,RAUSAND M. Spurious activation of safety instrumented systems in the oil and gas industry:Basic concepts and formulas[J]. Reliability Engineering&System Safety,2008,93(8):1208-1217.
[9] DING L,WANG H,JIANG J,et al. SIL Verification for SRS with diverse redundancy based on system degradation using reliability block diagram[J]. Reliability Engineering&System Safety,2017,165:20-26.
[10]王海清,乔丹菊,刘祥妹,等. Koo N表决结构多阶段马尔可夫模型简化算法[J].中国石油大学学报(自然科学版),2017,41(6):125-131.WANG Haiqing,QIAO Danju,LIU Xiangmei,et al. A simplified multi-phase Markov model with Koo N strucrure[J]. China Safety Science Journal of China University of Petroleum(Edition of Natural Science),2017,41(6):125-131.
[11] ZHU J X,WANG L J,GAO Z L,et al. Calculation of safety and spurious trip of safety instrumented system based on failure mode[J]. Pressure Vessel Technology,2007:10-11.
[12]王东风,刘千,韩璞,等.基于大数据驱动案例匹配的电站锅炉燃烧优化[J].仪器仪表学报,2016,37(2):420-428.WANG Dongfeng,LIU Qian,HAN Pu,et al. Combustion optimization in power station based on big data-driven case-matching[J].Chinese Journal of Scientific Instrument,2016,37(2):420-428.
[13]王海清,乔丹菊,刘祥妹,等.异型冗余设备Koo N结构通用PFD计算模型[J].中国安全科学学报,2016,26(8):90-94.WANG Haiqing,QIAO Danju,LIU Xiangmei,et al. Model for calculating generalizing PFD of non-identical redundant Koo N configurations[J]. China Safety Science Journal,2016(8):90-94.
[14] DANG T,SCHWARZ M,BRCSK J. Effect of demand rate on evaluation of spurious trip rate of a SIS[J]. International Journal of Mathematical Models&Methods in Applied Sciences,2015(9):487-498.
[15] LIU Y,LUNDTEIGEN M A. Reliability Importance of the Channels in Safety Instrumented Systems[C]//Industrial Engineering,Management Science and Applications 2015. Springer Berlin Heidelberg,2015.